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Your ML & Data Knowledge Wiki. Best practices and expert-level knowledge for Machine Learning and Data Engineering, covering 1000+ frameworks and libraries from training to deployment.
Browse implementation patterns, configuration guides, debugging heuristics, and battle-tested defaults for frameworks like vLLM, DeepSpeed, Megatron-LM, FlashAttention, Triton, Unsloth, LangChain, and many more. Every page is structured so both humans and AI agents can find what they need fast.
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| Category | Description | Browse |
|---|---|---|
| Workflows | Step-by-step processes and procedures | Browse All |
| Principles | Core ideas and foundational knowledge | Browse All |
| Implementations | Code-level details and modules | Browse All |
| Heuristics | Best practices and guidelines | Browse All |
| Environments | Setup and configuration guides | Browse All |
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Workflows
- Workflow:Apache Flink File Sink Pipeline
- Workflow:Nautechsystems Nautilus trader Backtest with BacktestEngine
- Workflow:Huggingface Peft LoRA Causal LM Finetuning
- Workflow:Huggingface Transformers 3D Parallel Distributed Training
- Workflow:Google research Deduplicate text datasets Cross dataset deduplication
- Workflow:Arize ai Phoenix Trace Ingestion Pipeline
- Workflow:Microsoft DeepSpeedExamples VisualChat Multimodal Training
- Workflow:Mlc ai Mlc llm REST API Serving
- Workflow:Openai Openai python Embeddings Generation
- Workflow:Microsoft Playwright Trace recording and debugging
Principles
- Principle:Arize ai Phoenix Prompt Versioning
- Principle:Duckdb Duckdb Extension Configuration
- Principle:Online ml River KSWIN Drift Detection
- Principle:Lucidrains X transformers Multi Stream Input Fusion
- Principle:Tensorflow Serving Resource Arithmetic
- Principle:FMInference FlexLLMGen Distributed Communication Abstraction
- Principle:ThreeSR Awesome Inference Time Scaling Readme Merge And Sort
- Principle:Microsoft Onnxruntime Result Processing
- Principle:Sail sg LongSpec Tree Attention Verification
- Principle:Groq Groq python Text Embedding Request
Implementations
- Implementation:Lance format Lance Optimize Indices
- Implementation:NVIDIA TransformerEngine Fused Attn Dispatch
- Implementation:Tensorflow Tfjs LayersModel Evaluate And Save For Transfer
- Implementation:Open compass VLMEvalKit MIABench
- Implementation:Microsoft Playwright FfNetworkManager
- Implementation:Openai Evals Solver Base Class
- Implementation:Microsoft Semantic kernel OpenApi TestPlugin MessagesOpenAPI
- Implementation:OpenGVLab InternVL FCNHead Custom
- Implementation:Speechbrain Speechbrain AMI Diarization Experiment
- Implementation:Haosulab ManiSkill RoboCasaMicrowave
Heuristics
- Heuristic:Turboderp org Exllamav2 Dynamic Generator Tuning
- Heuristic:OpenGVLab InternVL LoRA Alpha Scaling
- Heuristic:Lance format Lance Vector Index Tuning
- Heuristic:Elevenlabs Elevenlabs python VAD vs Manual Commit Strategy
- Heuristic:Unstructured IO Unstructured Multi Python Matrix
- Heuristic:Mlc ai Mlc llm BLAS Dispatch Decision
- Heuristic:Astronomer Astronomer cosmos Deprecation Migration Paths
- Heuristic:Cohere ai Cohere python HTTP Retry Backoff Strategy
- Heuristic:Infiniflow Ragflow Agent Max Rounds Strategy
- Heuristic:ChenghaoMou Text dedup Mersenne Prime Backward Compatibility
Environments
- Environment:EvolvingLMMs Lab Lmms eval API Credentials Environment
- Environment:Langchain ai Langchain OpenAI API Credentials
- Environment:Deepseek ai Janus JanusFlow Diffusers Environment
- Environment:Deepset ai Haystack HuggingFace Model Environment
- Environment:Volcengine Verl Ray Distributed Environment
- Environment:Helicone Helicone Node 20 TypeScript Runtime
- Environment:MaterializeInc Materialize Python CI Builder Runtime
- Environment:Deepset ai Haystack GPU Device Environment
- Environment:Dotnet Machinelearning Platform Architecture Support
- Environment:Hpcaitech ColossalAI ColossalChat Training Environment